Case-Control Studies

Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.

BMC medical imaging May 8, 2021

BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentati...

Humans Neural Networks, Computer Lung Magnetic Resonance Imaging Pneumonia Case-Control Studies Cystic Fibrosis Deep Learning Respiration Lung Neoplasms

View on PubMed DOI

Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

Scientific reports Apr 30, 2021

We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) responses to single-task and multitask functional magnetic resonance imaging (fMRI) between patients with psychophysiological insomnia (PI) and healthy...

Humans Brain Female Middle Aged Case-Control Studies Adult Male Polysomnography Psychophysiologic Disorders Support Vector Machine Magnetic Resonance Imaging Sleep Initiation and Maintenance Disorders

View on PubMed DOI

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.

Scientific reports Apr 29, 2021

This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convoluti...

Polyploidy Female Aged Aged, 80 and over Macular Degeneration Middle Aged Cell Proliferation Retinal Neovascularization Case-Control Studies Choroidal Neovascularization Diagnosis, Differential Cross-Sectional Studies Humans Tomography, Optical Coherence Male Neural Networks, Computer

View on PubMed DOI

Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.

Journal of preventive medicine and hygiene Apr 29, 2021

INTRODUCTION: Hamedan Province is one of Iran's high-risk regions for Multiple Sclerosis (MS). Early diagnosis of MS based on an accurate system can control the disease. The aim of this study was to compare the performance of four machine learning te...

Predictive Value of Tests Iran Multiple Sclerosis Female Humans Male Machine Learning Case-Control Studies

View on PubMed DOI

Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.

Computational and mathematical methods in medicine Apr 23, 2021

Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzheimer's disease and its complications is essential. Electroencephalogram is a technology that allows thousands of neurons with equal spatial orientation...

Support Vector Machine Early Diagnosis Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Discriminant Analysis Humans Cognitive Dysfunction Electroencephalography Alzheimer Disease Neural Networks, Computer Computational Biology Case-Control Studies

View on PubMed DOI

Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Disease markers Apr 22, 2021

Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...

Sensitivity and Specificity Lung Humans Case-Control Studies Bayes Theorem Models, Statistical Machine Learning Community-Acquired Infections Decision Trees COVID-19 Pneumonia Tomography, X-Ray Computed

View on PubMed DOI

Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.

Nature medicine Apr 15, 2021

Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...

Barrett Esophagus Triage Esophagus Esophageal Neoplasms Humans Case-Control Studies Adenocarcinoma Early Detection of Cancer Deep Learning Decision Support Systems, Clinical

View on PubMed DOI

A clinical decision model based on machine learning for ptosis.

BMC ophthalmology Apr 9, 2021

BACKGROUND: To establish a decision model based on two- (2D) and three-dimensional (3D) eye data of patients with ptosis for developing personalized surgery plans.

Humans Machine Learning Area Under Curve Retrospective Studies Case-Control Studies China

View on PubMed DOI

Deep learning-based molecular morphometrics for kidney biopsies.

JCI insight Apr 8, 2021

Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific...

Podocytes Biopsy Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Pathology, Clinical Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Humans Kidney Deep Learning Case-Control Studies

View on PubMed DOI

Robotic rehabilitation for end-effector device and botulinum toxin in upper limb rehabilitation in chronic post-stroke patients: an integrated rehabilitative approach.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Apr 7, 2021

BACKGROUND: Determine the effects of an integrated rehabilitation protocol, including botulinum toxin and conventional rehabilitation exercise plus end-effector (EE) robotic training for functional recovery of the upper limb (UL) compared to training...

Humans Prospective Studies Case-Control Studies Botulinum Toxins Treatment Outcome Robotic Surgical Procedures Recovery of Function Upper Extremity Robotics Stroke Rehabilitation

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.

Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.

Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.

Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.

Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.

A clinical decision model based on machine learning for ptosis.

Deep learning-based molecular morphometrics for kidney biopsies.

Robotic rehabilitation for end-effector device and botulinum toxin in upper limb rehabilitation in chronic post-stroke patients: an integrated rehabilitative approach.

Popular Topics

Recent Journals